Results 131 to 140 of about 3,682 (237)

Noise‐Tunable Memristor Enabling Programmable Probabilistic Neurons for Frequency‐Selective Time‐Series Signal Encoding

open access: yesAdvanced Materials, EarlyView.
Memristors offer tunable resistance and intrinsic instability, making them promising tunable noise sources. We propose a spiking‐rate‐programmable probabilistic neuron using a Ru/TaOx/Pt memristor, where resistance‐dependent noise enables frequency‐selective encoding.
Do Hoon Kim   +8 more
wiley   +1 more source

Direct Growth of 2D Bilayers on Au(111) for Low‐Coercive Sliding Ferroelectricity

open access: yesAdvanced Materials, EarlyView.
Controlled CVD growth of stacking‐defined bilayer ReS2 on Au(111) enables parallel‐stacked bilayers with intrinsic sliding ferroelectricity, a strong piezoelectric response, and an ultralow coercive voltage. Atomic‐resolution imaging and in situ measurements further reveal the decisive role of clean interfaces in achieving low‐barrier ferroelectric ...
Honglin Chen   +7 more
wiley   +1 more source

Tailoring Symmetry Breaking in Engineered van der Waals Superlattices

open access: yesAdvanced Materials, EarlyView.
We pioneer a scheme to tailor superpotentials in graphene based on intrinsic substrate electronic orders rather than twist angle. The resulting superpotential folds graphene's Dirac cones to either Γ$\Gamma$ or K‐points, leading to distinct symmetry behaviors.
Keda Jin   +7 more
wiley   +1 more source

Analog Tensor Processing With Carbon Nanotube In‐Memory Matrix Multiplications for Edge Computer Vision Acceleration

open access: yesAdvanced Materials, EarlyView.
This work prototypes a carbon nanotube‐based analog tensor core that performs in‐memory, parallel visual processing. Integrating non‐volatile memories and compact circuits, the core enables high‐speed analog matrix multiplications and can demonstrate accurate three dimensional (3D) spatial transformation and edge detection. With lightweight design, the
Jingfang Pei   +11 more
wiley   +1 more source

Defect‐Templated Phase Engineering in Atomically Thin Metals

open access: yesAdvanced Materials, EarlyView.
Graphene defects are transformed from passive imperfections into programmable templates for phase‐selective growth of atomically thin silver. Plasma‐generated boundary defects favor Ag(1), whereas sp3‐rich zero‐layer graphene promotes Ag(2). This defect‐directed intercalation links local graphene chemistry to crystalline phase, electronic structure ...
Arpit Jain   +25 more
wiley   +1 more source

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